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While the bearing stiffness for both mechanisms has been extensively predicted via analysis and its consequences have been observed in experiments, its direct measurement poses several challenges and is not found in the literature.
The coexistence phenomenon of various molecular forms was extensively predicted in many species sequenced that were verified through direct observation using electron microscopy in tobacco [ 33].
Furthermore, the selectivity of enzymatic drug targets is already extensively predicted with large-scale metabolic networks of human cancer cells [ 15].
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Moreover, this system enables the prediction of disease transmission between persons and has been used extensively to predict the potential for human-to-human spread of sCJD and vCJD (3, 14 – 14 ).
Fracture mechanics is used extensively to predict the remaining life and safe inspection intervals as part of maintenance programs for these systems.
Finite element analysis (FEA) has been used extensively to predict the biomechanical performance of various dental implant designs as well as the effect of clinical factors on implant success.
Available data on protein-protein interactions have been used extensively to predict complexes [ 14- 25].
This method has been used extensively to predict antioxidant activities because of the relatively short time required for analysis.
The clinicopathological characteristics, which are used extensively to predict prognosis in clinical practice, were evaluated using univariate and multivariate analysis with the forward Cox regression model.
For many years, mouse xenograft models implanted with human cancer cells lines have been used extensively for predicting responsiveness to anticancer target agents.
LUR approaches have been used extensively to predict within-city pollutant concentrations of nitrogen dioxide (NO2) and PM2.5 (for review, see Hoek et al. 2008), but to a lesser extent for volatile organic compounds (VOCs).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com